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An Energy-Efficient Compressive Image Coding for Green Internet of Things (IoT)

School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China
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Sensors 2018, 18(4), 1231; https://doi.org/10.3390/s18041231
Received: 20 March 2018 / Revised: 14 April 2018 / Accepted: 14 April 2018 / Published: 17 April 2018
(This article belongs to the Special Issue Green Communications and Networking for IoT)
Aimed at a low-energy consumption of Green Internet of Things (IoT), this paper presents an energy-efficient compressive image coding scheme, which provides compressive encoder and real-time decoder according to Compressive Sensing (CS) theory. The compressive encoder adaptively measures each image block based on the block-based gradient field, which models the distribution of block sparse degree, and the real-time decoder linearly reconstructs each image block through a projection matrix, which is learned by Minimum Mean Square Error (MMSE) criterion. Both the encoder and decoder have a low computational complexity, so that they only consume a small amount of energy. Experimental results show that the proposed scheme not only has a low encoding and decoding complexity when compared with traditional methods, but it also provides good objective and subjective reconstruction qualities. In particular, it presents better time-distortion performance than JPEG. Therefore, the proposed compressive image coding is a potential energy-efficient scheme for Green IoT. View Full-Text
Keywords: Green IoT; compressive sensing; image coding; gradient field; linear projection Green IoT; compressive sensing; image coding; gradient field; linear projection
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MDPI and ACS Style

Li, R.; Duan, X.; Li, X.; He, W.; Li, Y. An Energy-Efficient Compressive Image Coding for Green Internet of Things (IoT). Sensors 2018, 18, 1231. https://doi.org/10.3390/s18041231

AMA Style

Li R, Duan X, Li X, He W, Li Y. An Energy-Efficient Compressive Image Coding for Green Internet of Things (IoT). Sensors. 2018; 18(4):1231. https://doi.org/10.3390/s18041231

Chicago/Turabian Style

Li, Ran; Duan, Xiaomeng; Li, Xu; He, Wei; Li, Yanling. 2018. "An Energy-Efficient Compressive Image Coding for Green Internet of Things (IoT)" Sensors 18, no. 4: 1231. https://doi.org/10.3390/s18041231

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